This research paper explores the ethical issues of financial technology, emphasising the importance of safeguarding customer data, complying with data protection laws and avoiding making ethical mistakes that threaten a company’s trust.

This paper evaluates the effectiveness of machine learning and pattern-recognition models in monitoring trading activity on the London Stock Exchange by comparing their performance with traditional surveillance methods.

This report investigates the convergence of embedded finance, real-time cross-border payments and artificial intelligence. Specifically, it examines how graph neural networks in fraud detection and algorithmic cash-flow underwriting in credit scoring are enhancing financial inclusion and operational efficiency.

This research paper analyses how the WTO and IMF work, and often struggle, to mediate the competing interests between dumping and non-tariff barriers, and how digital trade may be the modern solution.

The last decade has revealed serious weaknesses in the World Trade Organization, especially during the United States-China trade war. This paper explores how protectionism, mainly through the use of tariffs, has challenged the WTO’s ability to act as a fair referee in world trade.